Popular GitHub Repositories for Size Imbalance

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

???YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

XAI - An eXplainability toolbox for machine learning

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

Dockershrink is an AI Assistant that reduces the size of your application's Docker Image

?️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

Compute CNN receptive field size in pytorch in one line

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

This project showcases an LLMOps pipeline that fine-tunes a small-size LLM model to prepare for the outage of the service LLM.

:microscope: Nano size Theano LSTM module

A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.

Sharp Image Deblurring

The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"